基于飞蛾火焰优化算法的火电调峰负荷分配研究

在分析火电调峰成本的基础上,以调峰成本最小化为目标构建了火电调峰负荷分配模型,引入飞蛾火焰算法作为模型求解方法,以重庆电网为例,共设定3种负荷分配场景,同时以粒子群算法和蚁群算法求解效果与飞蛾火焰算法对比,验证了模型及求解算法的高效性和合理性。结果表明：3种场景下,随着调峰需求的增加,优化过程中需要部分机组进行深度调峰和启停调峰才能满足调峰需求,优化后系统调峰总成本分别达到了1 976万元、2 645万元和3 287万元;3种算法求解过程中,飞蛾火焰优化算法收敛速度更快,求解效率更高,且经飞蛾火焰优化后的系统调峰总成本最低,相比传统优化算法具有更强的规避局部最优解能力。     

基于改进布谷鸟算法的电力系统最优潮流计算

针对电力系统最优潮流问题,提出一种融入量子计算和混沌局部搜索策略的改进布谷鸟算法(QCCS),即对布谷鸟算法的个体进行量子位编码,通过叠加态的量子位实现多样化种群,并在算法每次迭代的优化值附近进行混沌局部搜索进而增加布谷鸟算法的局部搜索能力,同时采用量子门变换使每个个体朝最优个体进化,从而提高算法的寻优能力。最后以IEEE 118节点系统的最优潮流计算问题为例,应用QCCS进行仿真计算。通过与其他方法(PSO、GA、CS)计算结果进行对比分析,验证了QCCS算法求解电力系统最优潮流问题的有效性,从而为电力系统最优潮流(OPF)问题的求解提供了一种新方法。     

基于改进飞蛾优化算法的水火互联电网负荷频率控制

负荷频率控制是互联电网进行有功调频的重要方法,设计了一种基于改进飞蛾优化算法的水火互联电网负荷频率控制方案,该方案将Lévy飞行策略引入到飞蛾优化算法中,同时在飞蛾的更新公式中引入动态惯性权值和历史最优火焰平均值以改善算法性能,并对互联电网分数阶PID控制器参数进行优化整定,以提高收敛速度及寻优精度。建立三区域水火互联电网LFC系统仿真模型,采用改进飞蛾优化算法搜索获得最优的分数阶PID控制器参数,并在阶跃负荷扰动下进行仿真分析。结果表明,所提方案具有很好的鲁棒性和控制效果。     

改进的混沌优化方法在电站机组负荷分配中的应用

利用搜索过程中的先验知识，提出了一种改进的变尺度混沌优化算法，对电厂机组负荷分配这一类高维、非线性问题进行寻优。该算法利用混沌运动的遍历性和随机性进行全局搜索，结合下降法思想在当前最优解的局部空间搜索，提高算法的收敛速度。通过罚函数，将非线性约束问题转化为非约束问题求解，在寻优操作过程中检验解的有效性。并采用目标函数中负荷取值区间判别方法，降低优化问题的规模，减少了计算次数。与传统遗传算法相比，改进的混沌优化算法获得了更好的效果。     

基于类电磁机制算法的综合能源系统多目标优化调度

针对综合能源系统低碳经济调度的优化问题,引入P2G设备提升系统的弃风消纳空间与低碳经济性,以运行成本与碳排放量为优化目标,建立含多种供能设备的综合能源系统多目标优化调度模型.模型的求解采用改进的类电磁机制算法,针对综合能源系统调度问题约束较为复杂,算法易陷入局部最优的问题,引入立方混沌初始化、差分进化策略和自适应权重因...     

考虑用户差异化可靠性需求的配电网规划方法

综合考虑配电网中源储荷等资源的运行响应特性和终端用户的差异化可靠性需求,提出一种基于主从博弈且满足经济性、可靠性、安全性相协调的配电网双层优化规划方法。其中,上层模型以配电网经济性最优为目标,求解分布式电源选址定容结果;下层模型以用户差异化可靠性指标最优为目标,求解各时段分布式电源和可中断负荷最优出力安排。最后,采用改进的基于混沌搜索的自适应粒子群算法求解,以IEEE-33节点系统为例对所提模型与方法的有效性进行验证。仿真结果表明,该方法能够有效满足不同类型终端用户的差异化可靠性需求。     

基于混沌优化算法的城市供水绩效DEA评价模型

针对目前城市水资源短缺现象,阐述了城市供水绩效评价的重要性。介绍了数据包络分析方法及其非线性模型,并提出了混沌优化求解算法。实例表明:用混沌优化算法对城市供水绩效的DEA评价模型的优化结果与前人采用线性求解结果一致,证明了混沌算法求解DEA模型的可行性。     

改进粒子群算法在梯级水电站优化调度研究中的应用

针对梯级电站优化调度具有多阶段、非线性和组合性的特点,采用改进粒子群算法来求解。针对目前采用的基本粒子群算法在求解时存在易陷入局部最优和早熟的缺点,改进粒子群算法以混沌变量生成机制来增加种群的多样性,以逐步优化和随机生成相结合的方法生成初始种群,以增加粒子生成的有效性。实例计算结果表明,改进粒子群算法可以取得较好的效果,并为梯级电站优化调度提供了一种有效的方法。     

基于遗传算法的动力总成悬置系统优化设计

动力总成作为工程机械的主要激励源,其悬置系统的设计水平直接影响到整机的隔振性能。以能量解耦率为目标函数的动力总成悬置系统优化设计是一个具有多个局部最优解的问题,因此需要运用全局搜索能量强的遗传算法进行求解。与采用传统优化算法相比,遗传算法可以求得全局最优解,并且可以设计出各自由度方向上均具有较高解耦率的方案。     

考虑可再生能源不确定性的最优潮流研究

文章针对含有可再生能源的电网提出了最优潮流优化模型,并对风电出力、光伏出力以及水轮机组出力的不确定性进行了建模。提出了考虑可再生能源不确定性的最优潮流模型,以机组成本以及网络中的网损最小为目标函数,考虑相应的约束条件,利用改进斑点鬣狗优化算法对模型进行求解,引入混沌序列控制向量提升算法整体的寻优性能。最后,在IEEE 30节点系统中对所提的模型和算法进行了仿真分析。     

风电系统的无功功率与电网电压稳定

论述了风电容量在占局部电网相当比例时,风电机组的无功功率调整与电网电压之间的关系,对于定速和变速风电机组的运行特性做了分析,提出了在需要做无功功率调整时风电机组应能满足的特殊要求。     

New energy power generation-wind power generation

This paper introduced the status quo of wind power and wind power generation technology. Focusing on the introduction of wind power generating system ibrational self-consistent field（VSCF）, program implementation included Alternating Current （AC）-Direct Current （DC）-AC conversion system, magnetic field modulation generator system, doubly-fed generator system etc. Among these, doubly-fed generator system is the trend. Where to build the wind farm is very important, so a perfect site is needed. Wind power generation will have a bright future. As long as the wind power can be linked to the grid in large scale.     

Output power control for large wind power penetration in small power system

Nowadays, wind turbine generator (WTG) is increasingly required to provide control capabilities regarding output power. Under this scenario, this paper proposes an output power control of WTG using pitch angle control connected to small power systems. By means of the proposed method, output power control of WTG considering states of power system becomes possible, and in general both conflicting objectives of output power leveling and acquisition power increase are achieved. In this control approach, WTG is given output power command by fuzzy reasoning which has three inputs for average wind speed, variance of wind speed, and absolute average of frequency deviation. Since fuzzy reasoning is used, it is possible to define output power command corresponding to wind speed condition and changing capacity of power system momentarily. Moreover, high performance pitch angle control based on output power command is achieved by generalized predictive control (GPC). The simulation results by using actual detailed model for wind power system show the effectiveness of the proposed method.     

Output power variations with solar power satellites

The first comprehensive evaluation of output power variations expected from Solar Power Satellites is presented. The various factors are classified in a two tier manner as: deterministic (either periodic or non-periodic) and statistical (either constant with system life or changing with life). The largest variations are due to seasonal periodic factors, namely variations in the solar constant (± 3.3 per cent) and a solar illumination variation with the photovoltaic array held perpendicular to the orbit plane (± 4.2 per cent). Other key factors delineated which are being quantified presently include power reductions due to microwave power tube failure and silicon solar cell radiation damage, while multiple shadowing of adjacent power stations in geosynchronous orbit and rectenna structural factors and combining efficiency variations are representative of areas that need further study.     

Microthermophotovoltaic power generator with high power density

A promising energy source for portable MEMS devices, microthermophotovoltaic (micro-TPV) power generator, is described in this paper. The system mainly consists of a micro SiC combustor, and a GaSb photovoltaic (PV) cell array and a simple nine-layer dielectric filter, with a volume of about 3.1 cm³. When the flow rate of H₂ is 4.2 g/h, and H₂/O₂ ratio is 0.7, the system is able to deliver 3.06 W electrical power, the open-circuit voltage and short-circuit current are 2.31 V and 1.74 A, respectively, the result is a power density of about 1.0 W/cm³ (1 MW/m³). The effect of all kinds of factors on the performance of the micro-TPV system is also discussed in this paper.     

Wind power and market power in competitive markets

Average market prices for intermittent generation technologies are lower than for conventional generation. This has a technical reason but can be exaggerated in the presence of market power. When there is much wind smaller amounts of conventional generation technologies are required, and prices are lower, while at times of little wind prices are higher. This effect reflects the value of different generation technologies to the system. But under conditions of market power, conventional generators with market power can further depress the prices if they have to buy back energy at times of large wind output and can increase prices if they have to sell additional power at times of little wind output. This greatly exaggerates the effect. Forward contracting does not reduce the effect. An important consequence is that allowing market power profit margins as a support mechanism for generation capacity investment is not a technologically neutral policy.     

A hybrid power source for pulse power applications

Portable 12 V power supplies are used extensively for communications and power tool applications. These devices demand fast response times of the power supply. Fuel cells are generally best suited to continuous power applications and require an initial warm-up period, although they offer the prospect of increased operational duration over a battery for a given weight of portable system. This paper investigates the combination of specific energy performance from the fuel cell system with the specific power and response time of the battery. Two separate hybrid systems have been developed and tested; a planar, 20-cell, polymer electrolyte membrane fuel cell (PEMFC) stack together with either a lead–acid or nickel/cadmium battery; and a conventional 20-cell, bipolar, PEMFC stack. Both systems have been tested under pulse-load conditions at temperatures between −20°C and +40°C, and for comparison, the individual components have undergone similar tests. The hybrid systems have successfully operated continuously for several weeks under load profiles that the fuel cell alone could not sustain.     

Environmental/economic power dispatch with wind power

Economic environmental dispatch (EED) is a significant optimization problem in electric power system. With more wide spread use of wind power, it is necessary to include wind energy conversion system (WECS) in the EED problem. This paper presents a model to solve the EED problem incorporating wind power. In addition to the classic EED factors, the factors accounting for overestimation and underestimation of available wind power in both economic and environmental aspects are also considered. In order to obtain some quantitative results, the uncertain characteristic of available wind power and the performance of WECS are determined on the basis of the statistical characteristic of wind speed. The optimization problem is numerically solved by a scenario involving two conventional generators and two wind-powered generators. The results demonstrate that the allocation of system generation capacity may be influenced by multipliers related to the cost for overestimation and underestimation of available wind power, and by the multiplier related to the emissions for underestimation of available wind power. Nevertheless, the multiplier related to the emissions for overestimation of available wind power has little impact on the allocation. Taking account of economic factors, environmental factors and impacts of wind power penetration, the proposed EED model is beneficial to finding the right balance between radical and conservative strategy for wind power development.